Lecture 3 – Random Variables
Presented by Anthony D. Joseph and Suraj Rampure
Content by Anthony D. Joseph, Suraj Rampure, Ani Adhikari
- slides
- video playlist
- (supplemental) Stat 88 chapter on distributions
A random one of the following six Google Forms will give you an alphanumeric code once you submit; you should take this code and enter it into the “Lecture 3” question in the “Quick Check Codes” assignment on Gradescope to get credit for submitting this Quick Check. You must submit this by Tuesday, September 8th at 11:59PM to get credit for it.
| Video | Quick Check | |
|---|---|---|
| 3.1 Formal definition of random variables. |
3.1 | |
| 3.2 Distributions of random variables. |
3.2 | |
| 3.3 Defining the Bernoulli and binomial distributions. |
3.3 | |
| 3.4 Discussing equality of random variables – equal vs. equal in distribution. |
3.4 | |
| 3.5 Expectation. Linearity of expectation. Sample calculations, and the expectation of the Bernoulli and binomial distributions. |
3.5 | |
| 3.6 Summary, and what's next. |
N/A |